1. Giebel G, Brownsword R, Kariniotakis G, Denhard M, Draxl C. The state-of-the-art in short-term prediction of wind power a literature overview, 2nd ed. Project report for the Anemos.plus and SafeWind projects, Risø, Roskilde, Denmark; 2011. 109 pp.
2. Short-term wind prediction using Kalman filters;Bossanyi;Wind Eng,1985
3. Vihriälä H, Ridanpää P, Perälä R, Söderlund L. Control of a variable speed wind turbine with feedforward of aerodynamic torque. In: Proc of the European wind energy conf. Nice, France: European Wind Energy Association; 1999. p. 881–84.
4. Load and wind power forecasting methods for the optimal management of isolated power systems with high wind penetration;Dutton;Wind Eng,1999
5. Fukuda H, Tamaki S, Nakamura M, Nagai H, Shijo F, Asato S, et al. The development of a wind velocity prediction method based on a data-mining type auto-regressive model. In: Proc of the European wind energy conf. Copenhagen, Denmark; 2001, p. 741–44.